Awesome Large Language Models
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Reading Packs
News
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Reading Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Xilun Chen — most-cited papers & profile · Large Language Models
← authors
·
overview
Xilun Chen
10
papers ·
31
citations ·
19
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
2023 · 15 citations
Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness
2026
Extracting and Understanding the Superficial Knowledge in Alignment
2025
Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models
2024
Top co-authors
Asli Celikyilmaz
· 1
Babak Damavandi
· 1
Bhavya Kailkhura
· 1
Daniel M. Bikel
· 1
Eric Michael Smith
· 1
Gabriel Jacob Perin
· 1
Gergely Szilvasy
· 1
Jacob Kahn
· 1
Junyuan Hong
· 1
Louis Martin
· 1
Luke Zettlemoyer
· 1
Luna Dong
· 1
Topics
Fine-Tuning
RAG
Safety & Alignment
In-Context Learning
Training Techniques
Evaluation
Vision-Language
Efficiency